mobile data from a research perspective institute of educational technology the open university...
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Mobile Data from a Research Perspective
Institute of Educational TechnologyThe Open University
Agnes Kukulska-Hulme
JISC/CNI conference, Edinburgh, 1-2 July 2010
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The Open University's Institute of Educational Technology
Book published 2009
Collective experience of mobile learning researchers
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The Open University's Institute of Educational Technology
MOTILL – European project on Mobile Technologies in Lifelong Learning: Best Practices, 2009-10
case studiese.g. FÓN project
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Mobile pedagogy in the classroom
collaboration interaction
instant sharing
personalisation
instant access
instant capture
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The Open University's Institute of Educational Technology
Mobile pedagogy outside the classroom
Connecting education with work-based learning
Connecting leisure activity and informal learning
Connecting classroom and field learning
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The Open University's Institute of Educational Technology
Anytime learningLife-long learningLife-wide learning
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Mobile learning research
o Learning contexts: mobility of the learner; movement between locations; how learning spaces are utilized; ecologies of learning resources on the move; proximity to objects being studied; social/cultural/technological context
o The relationship of mobile tools to other tools that learners use or carry: this includes conflicting and complementary technologies; multiple communication channels
o Learning processes and emerging practices: how mobile technologies can stimulate learning innovation and contribute to change; appropriation of a mobile device over time; user-generated content; distributed collection of experiential/scientific data by learners over time
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The Open University's Institute of Educational Technology
Some important research themes:
Context, control, transition, engagement, time use• Context: context-aware
applications, learner-generated contexts, personal inquiry
• Control: learner or instructor • Transition: between places,
between types of learning, between mental states
• Engagement: emotional state• Time use: ‘pockets of time’,
‘dead time’
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Research methods/ data• Qualitative interviews and focus groups• Attitude surveys• Device use surveys• Observations• Video capture• Eye tracking• Learner diaries• Personal concept mapping• Audio logs / audio recordings• Automatic logging of device use• Artefacts produced by learners• Twitter messages, Instant messaging• Tests to compare learner performance
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The Open University's Institute of Educational Technology
Data analysis and interpretation
• Analysis
–Triangulation
–Conflicts and contradictions–Critical incidents (breakthroughs and breakdowns)
• Interpretation
–Scenarios
–Stories
–Narratives
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Issues and challenges•Learning spread across locations and times•No fixed point to locate an observer•Difficulty separating learning from other everyday activities•Snapshots and one-off activities: need for longitudinal studies•Variety of technologies used (personal and borrowed)•Self-reporting may be unreliable•Quality of participant-collected data•Rich data (spatial, temporal…)•Ethical concerns when monitoring activity•Scaling up
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The Open University's Institute of Educational Technology
Proposals• Integrate expertise from other fields to develop remote
research methods, including for longitudinal studies
• Develop data visualizations for aspects such as: space and time use, devices used, transitions, connections between contexts
• Propose ethical guidelines for mobile data collection (in progress – International Association for Mobile Learning)
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Institute of Educational TechnologyThe Open UniversityMilton KeynesUnited Kingdom
http://www.open.ac.uk/iet
Thank you